Job Description

Senior Data Analytics Manager - Commercial Operations

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  • Division:
    Technology
  • City:
    London
  • Country:
    UK
  • Job Type:
    Full Time
  • Number of Hours:
    37.5
  • Contract Type:
    Permanent
  • Closing Date:
    20 August 2025
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Senior Data Analytics Manager - Commercial Operations (36340)

About Data at Holland & Barrett

At Holland & Barrett (H&B), we want to empower everyone to live healthier, happier lives. With over 150 years of experience, we're the largest health & wellness retailer in Europe and a globally trusted brand. Our ambition is to become the world's most trusted wellness partner, chosen by over 100 million people worldwide. 
 
Our Analytics organisation is structured into five verticals: four embedded analytics areas aligned to key business functions, and a central Business Intelligence team focused on cross-functional reporting and performance enablement. Together with our Data Engineering and Data Science colleagues, we make data a strategic lever to achieve H&B's goals. 
 
As Senior Analytics Manager in the Core Business Analytics team, you will lead the Commercial (Ops) analytics vertical—covering pricing, promotions, stock exit, and operational performance. You'll manage a team of analysts, set the direction for how data is used across Commercial Ops, and partner closely with stakeholders in Trading, Pricing, Commercial Ops, and Supply Chain. 

The Role

What You'll Do 

  • Lead the analytics roadmap for Commercial Operations across pricing, stock exit, margin performance, and trading analytics. 
  • Manage, coach, and develop a team of Commercial Analysts (mid and senior levels). 
  • Partner with stakeholders across Trading, Pricing, Commercial Ops, and Supply Chain to shape priorities and drive impact through data. 
  • Ensure delivery of dashboards and tools in Metabase that enable better decision-making on pricing, promotions, and markdowns. 
  • Own planning and prioritisation across analytics workstreams, coordinating delivery with the BI and Data Engineering teams. 
  • Guide deep-dive analysis into pricing performance, margin impact, and stock clearance effectiveness. 
  • Ensure high standards in analytics output, including documentation, scalability, and reproducibility. 
  • Influence strategy by embedding data in key commercial forums and decision cycles. 
  • Champion the use of data across the commercial org, raising data literacy and coaching stakeholders on how to use insights. 
  • Work with a modern data stack, including Redshift, BigQuery, Matillion, and Retool. 

Location: 

This role is based in Nuneaton and is required to occasionally travel to other location of H&B. We support flexibility and productivity of our employees by hybrid working arrangements with minimum 2 days presence in the offices.

The Person

What We're Looking For 

  • Leadership: Proven ability to lead and grow a team of analysts, building a culture of delivery, curiosity, and collaboration. 
  • Commercial analytics expertise: Deep understanding of trading, pricing, margin, and product lifecycle in a retail context. 
  • Stakeholder influence: Trusted partner to Heads of Trading, Pricing, and Commercial Ops; able to translate business needs into analytical strategy. 
  • Delivery ownership: Comfortable managing multiple workstreams, aligning resources, and delivering through others. 
  • Technical understanding: Strong SQL fluency and experience overseeing analytics products built in Metabase or equivalent BI tools (Tableau, Power BI, Looker) 
  • Visualisation skills: Designs clean, usable dashboards in Metabase (or experience with equivalent tools like Tableau, Looker, PowerBI). 
  • Communication: Able to present complex insights clearly and credibly at all levels, from squad to exec forums. 
  • Collaboration: Works across functions with BI, Supply, Product, and Data teams to land scalable data solutions. 
  • Education & Experience: You have a degree in a quantitative field such as Mathematics, Economics, Statistics, or Engineering, and 6+ years of experience in analytics—at least 2–4 years in a team management or senior stakeholder-facing role, ideally in a retail or commercial operations context. 
Benefits

Wellbeing & Lifestyle Benefits 

  • Health Cash Plan  
  • Life Assurance 
  • Incentive Scheme
  • Virtual GP 
  • Private Medical
  • FREE at-home blood test kit 
  • Holiday Purchase option 
  • Pension Contribution 
  • Access to ‘Wellhub' with gyms, studios and wellbeing apps 

Discounts & Savings 

  • 25% Colleague Discount with FREE Next Day Delivery 
  • Exclusive Discounts from a wide range of partners 
  • £/€50 Annual Product Allowance to spend in store 

Learning & Development 

  • Access to a variety of learning opportunities, including Level 2-5 Apprenticeships, Workshops and our Digital Learning Library 
  • AND MORE! 

We're passionate about helping every colleague thrive across all dimensions of wellbeing, and we're committed to having a diverse and inclusive workplace. In line with our EPIC values (Expertise, Pioneering, Inclusive, Caring), we embrace and actively celebrate all our colleagues' unique and varying experiences, backgrounds, identities and cultures - I am me, we are H&B. 

Holland & Barrett does not accept unsolicited resumes from search firms/recruiters. Please do not forward resumes to our job alias, employees, or any other company location. Holland & Barrett is not and will not be responsible for any fees if a candidate submitted by a search firm/recruiter unless otherwise agreed with respect to specific open position(s). 

The Company

Our selection process is designed to be thorough, transparent, and aligned with the role. It includes:

  • A short Coderbyte assessment to evaluate core technical and analytical skills
  • Role-specific questions to understand your approach to relevant challenges
  • An interview with the Hiring Manager to explore your experience and motivations
  • A case study to demonstrate problem-solving and strategic thinking
  • A follow-up review to delve deeper into your insights and approach
  • Short conversations with team members to assess team fit and working style

 

#LI-Hybrid
#LI-CM1


 
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Location
London Hub
7-10 Chandos Street, London, United Kingdom, W1G 9DQ
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